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authorGertjan van den Burg <burg@ese.eur.nl>2014-08-25 14:51:55 +0200
committerGertjan van den Burg <burg@ese.eur.nl>2014-08-25 14:51:55 +0200
commitbc7ac4f2b40cf60cd7997c28244a1f8eba4bad05 (patch)
tree1e4eee957f731e15499e70a461d036f5488fdedf /src/libGenSVM.c
parentrename msvmmaj to gensvm (diff)
downloadgensvm-bc7ac4f2b40cf60cd7997c28244a1f8eba4bad05.tar.gz
gensvm-bc7ac4f2b40cf60cd7997c28244a1f8eba4bad05.zip
rename execs and fix some unintended renames
Diffstat (limited to 'src/libGenSVM.c')
-rw-r--r--src/libGenSVM.c6
1 files changed, 3 insertions, 3 deletions
diff --git a/src/libGenSVM.c b/src/libGenSVM.c
index bb48673..b692bdb 100644
--- a/src/libGenSVM.c
+++ b/src/libGenSVM.c
@@ -138,7 +138,7 @@ void gensvm_calculate_errors(struct GenModel *model, struct GenData *data,
long K = model->K;
cblas_dgemm(
- CblasRowGenor,
+ CblasRowMajor,
CblasNoTrans,
CblasNoTrans,
n,
@@ -255,8 +255,8 @@ void gensvm_seed_model_V(struct GenModel *from_model,
* @brief Use step doubling
*
* @details
- * Step doubling can be used to speed up the Genorization algorithm. Instead
- * of using the value at the minimimum of the majorization function, the value
+ * Step doubling can be used to speed up the maorization algorithm. Instead of
+ * using the value at the minimimum of the majorization function, the value
* ``opposite'' the majorization point is used. This can essentially cut the
* number of iterations necessary to reach the minimum in half.
*